Tianji Thinking Models

Name: Tianji Thinking Models
Author: lanyijianke

@lanyijianke

Repository

About Tianji Thinking Models

No overview available yet

#thinking #model

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "thinking-models": {
      "command": "npx",
      "args": [
        "--yes",
        "--no-cache",
        "@thinking-models/mcp-server@latest"
      ]
    }
  }
}

Tools

获取指定语言的思维模型列表，支持按分类过滤

在指定语言的思维模型中根据关键词进行文本搜索

基于问题关键词推荐适合解决特定问题的思维模型

获取思维模型的详细信息或特定字段

获取所有思维模型的分类信息

获取与特定思维模型相关的模型推荐

解释模型的推理过程和应用的思维模式

交互式推理过程，允许动态获取额外信息

为问题生成多个假设并提供验证方法

统计当前思维模型的总数

记录用户对思维模型使用体验的反馈

检测用户查询中的知识缺口

获取思维模型的使用统计数据

分析思维模型学习系统的总体状况

获取思维模型MCP服务器的版本和状态信息

创建新的思维模型并添加到系统中，用于填补知识缺口

更新现有思维模型的内容

通过组合现有思维模型的关键概念和特性来创建新的思维模型

新手入门指南，帮助用户了解思维模型工具体系和建议使用流程

Overview

What is Tianji Thinking Models?

Tianji Thinking Models is an MCP server that integrates hundreds of thinking models, frameworks, and methodologies to help users think more systematically about problems. It enables AI assistants to access these tools through the Model Context Protocol (MCP) and apply structured thinking methods during conversations.

How to use Tianji Thinking Models?

The server requires Node.js 18+ and TypeScript 4.9+. After installation, configure it as an MCP server to connect AI assistants, then use its 20+ tools for exploring, recommending, interactively reasoning, and creating thinking models. Supported languages are Chinese (zh) and English (en).

Key features of Tianji Thinking Models

Rich library of hundreds of thinking models across multiple domains
Intelligent model recommendations based on problem characteristics
Interactive reasoning process guidance with step-by-step analysis
Learning and adaptation system that improves recommendations via feedback
Model creation and combination for innovative thinking frameworks
Comprehensive tool set for exploration, problem-solving, creation, and system learning

Use cases of Tianji Thinking Models

Explore and search a vast library of systematic thinking models for any problem
Receive tailored model recommendations and interactive reasoning guidance for complex challenges
Generate multiple hypotheses and validate them using structured methods
Create new thinking models or combine existing ones for custom frameworks
Analyze knowledge gaps and track usage statistics to improve thinking skills

FAQ from Tianji Thinking Models

What runtime does Tianji Thinking Models require?

It requires Node.js 18+ and TypeScript 4.9+, with MCP Protocol 1.11+ and Zod 3.24+.

What languages are supported?

The server supports Chinese (zh) and English (en) for all tool interactions and model data.

Can I create my own thinking models?

Yes, the server provides create-thinking-model, update-thinking-model, emergent-model-design, and delete-thinking-model tools for custom model creation and management.

Does the server learn from user feedback?

Yes, the record-user-feedback tool allows users to provide feedback on model experiences, and the recommendation system can apply learning adjustments (controlled by the use_learning_adjustment parameter).

How many thinking models are included?

The server contains hundreds of thinking models across multiple categories and subcategories; the total count can be retrieved via the count-models tool.

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